Abstract: The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Abstract: A vehicular personalized adaptive cruise control system includes a forward-viewing camera viewing forward through a windshield of a vehicle, and an electronic control unit disposed at the vehicle. When the vehicle is operating in an adaptive cruise control mode, the system controls driving of the vehicle. When the equipped vehicle is not operating in the adaptive cruise control mode, a driver present in the vehicle drives the vehicle. The system identifies the driver via processing of image data captured by a cabin monitoring camera. When the identified driver drives the vehicle with the vehicle not operating in the adaptive cruise control mode, the system determines and stores personalized parameters for the identified driver. With the identified driver present in the vehicle, and when the vehicle is operating in the adaptive cruise control mode, the system uses the determined personalized parameters.

Abstract: A vehicular driving assistance system is operable to control driving of a vehicle when operating in a driving assist mode. When the vehicular driving assistance system is not operating in the driving assist mode, a driver controls driving of the vehicle. The system identifies the driver and receives information pertaining to operation by the identified driver of the vehicle while the vehicle is driven by the identified driver. The system generates first and second personalized parameter sets for the identified driver when the driver drives the vehicle during respective first and second driving conditions. When the system is operating in the driving assist mode and the identified driver is present in the vehicle, and responsive to a current driving condition of the vehicle corresponding to one of the determined driving conditions, the system controls the vehicle in accordance with the respective generated personalized parameter set for that driving condition.

Abstract: A vehicular driving assistance system is operable to control driving of a vehicle when operating in a driving assist mode. When the vehicular driving assistance system is not operating in the driving assist mode, a driver controls driving of the vehicle. The system identifies the driver and receives information pertaining to operation by the identified driver of the vehicle while the vehicle is driven by the identified driver. The system generates first and second personalized parameter sets for the identified driver when the driver drives the vehicle during respective first and second driving conditions. When the system is operating in the driving assist mode and the identified driver is present in the vehicle, and responsive to a current driving condition of the vehicle corresponding to one of the determined driving conditions, the system controls the vehicle in accordance with the respective generated personalized parameter set for that driving condition.

Abstract: The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Abstract: A method for controlling a vehicle includes providing a plurality of sensors and a control at an equipped vehicle and identifying a driver present in the vehicle and capable of operating the vehicle. When the control is not operating in a driving assist mode and the identified driver is operating the vehicle, and responsive to processing data received at the data processor, a personalized parameter set is created for the identified driver based on how the identified driver operates the equipped vehicle during determined driving conditions. When the control is operating in a driving assist mode, and responsive to a current driving condition of the vehicle, the vehicle is controlled (i) in accordance with the personalized parameter set for the identified driver present in the equipped vehicle and (ii) in accordance with data processing of data captured by at least some of the plurality of sensors.

Abstract: The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Abstract: A vehicular control system includes a forward viewing camera having a field of view forward of the vehicle. A control includes an image processor operable to process image data captured by the camera to determine road curvature of a curved section of a road being traveled by the vehicle. Based on the determined road curvature, the control determines tangents to the determined road curvature along the curved section of the road. The control steers the equipped vehicle along the curved section of the road by adjusting steering of the vehicle to follow the determined tangents to the determined road curvature as the vehicle moves along the curved section of the road.

Abstract: The present disclosure relates to systems, devices and methods for evaluating a trained vehicle data set of a driver assistance system. Embodiments are directed to scoring run time attributes of a scene detection operation using a trained vehicle data set against a vector representation for an annotated data set to assess the ability of the scene detection operation to perceive target object attributes of the vehicle sensor data. In one embodiment, scoring evaluates effectiveness of the scene detection operation in identifying target object attributes of the vehicle sensor data using the trained vehicle data set. An event flag may be determined for a trained vehicle data set based on the scoring, the even flag identifying one or more parameters for updating the trained vehicle data set. Configurations and processes can identify anomalies to a trained vehicle data set and allow for capturing useful real world data to test runtime operations.

Abstract: The present disclosure relates to systems, devices and methods for evaluating a trained vehicle data set of a driver assistance system. Embodiments are directed to scoring run time attributes of a scene detection operation using a trained vehicle data set against a vector representation for an annotated data set to assess the ability of the scene detection operation to perceive target object attributes of the vehicle sensor data. In one embodiment, scoring evaluates effectiveness of the scene detection operation in identifying target object attributes of the vehicle sensor data using the trained vehicle data set. An event flag may be determined for a trained vehicle data set based on the scoring, the even flag identifying one or more parameters for updating the trained vehicle data set. Configurations and processes can identify anomalies to a trained vehicle data set and allow for capturing useful real world data to test runtime operations.

Abstract: The present disclosure relates to systems, devices and methods for identifying objects and scenarios that have not been trained or are unidentifiable to vehicle perception sensors or vehicle assistive driving systems. Embodiments are directed to using a trained vehicle data set to identify target objects in vehicle sensor data. In one embodiment, a process is provided that includes running a scene detection operation on vehicle to derive a vector of target object attributes of the vehicle sensor data and generating a vector representation for the scene detection operation and the attributes of the vehicle sensor data. The vector representation compared to a familiarity vector to represent effectiveness of the scene detection operation. In addition, the vector representation can be scored to identify one or more target objects or significant scenarios, including unidentifiable objects and/or driving scenes, scenarios for reporting.

Abstract: A method for controlling a vehicle includes providing a plurality of sensors and a control at an equipped vehicle and identifying a driver present in the vehicle and capable of operating the vehicle. When the control is not operating in a driving assist mode and the identified driver is operating the vehicle, and responsive to processing data received at the data processor, a personalized parameter set is created for the identified driver based on how the identified driver operates the equipped vehicle during determined driving conditions. When the control is operating in a driving assist mode, and responsive to a current driving condition of the vehicle, the vehicle is controlled (i) in accordance with the personalized parameter set for the identified driver present in the equipped vehicle and (ii) in accordance with data processing of data captured by at least some of the plurality of sensors.

Abstract: A vehicular control system includes a forward viewing camera having a field of view forward of the vehicle. A control includes an image processor operable to process image data captured by the camera to determine road curvature of a curved section of a road being traveled by the vehicle. Based on the determined road curvature, the control determines tangents to the determined road curvature along the curved section of the road. The control steers the equipped vehicle along the curved section of the road by adjusting steering of the vehicle to follow the determined tangents to the determined road curvature as the vehicle moves along the curved section of the road.

Abstract: A control system for a vehicle includes a forward viewing camera having a field of view forward of the vehicle. A control includes an image processor operable to process image data captured by the camera to determine lane boundaries of a lane of travel of the vehicle and to determine road curvature of a curved section of a road being traveled by the vehicle. The control, responsive at least in part to processing of captured image data, determines an end of the curved section where the road straightens. The control, responsive to a determination that the vehicle is at the end of the curved section where the road straightens, determines a wheel angle to adjust a wheel of the vehicle to such that the vehicle travels parallel to a tangent of the road after the vehicle has traversed the curved section and is at a straight section of the road.

Abstract: A method for controlling a vehicle includes providing a plurality of sensors and a control at an equipped vehicle and identifying a driver present in the vehicle and capable of operating the vehicle. When the control is not operating in a driving assist mode and the identified driver is operating the vehicle, and responsive to processing data received at the data processor, a personalized parameter set is created for the identified driver based on how the identified driver operates the equipped vehicle during determined driving conditions. When the control is operating in a driving assist mode, and responsive to a current driving condition of the vehicle, the vehicle is controlled (i) in accordance with the personalized parameter set for the identified driver present in the equipped vehicle and (ii) in accordance with data processing of data captured by at least some of the plurality of sensors.

Abstract: A method for controlling a vehicle includes providing a plurality of sensors at an equipped vehicle, capturing, via the plurality of sensors, data, and determining, via processing by a data processor of data captured by at least some of the plurality of sensors, information pertaining to distance to other vehicles present exterior the equipped vehicle. Information is determined pertaining to lane geometry of a lane of a road along which the equipped vehicle is traveling. Information is provided pertaining to at least one of (i) acceleration of the equipped vehicle, (ii) braking of the equipped vehicle and (iii) steering of the equipped vehicle. Information is provided identifying a driver operating the equipped vehicle. Responsive to identification of the driver operating the equipped vehicle, the equipped vehicle is controlled in accordance with a personalized parameter set for the identified driver and in accordance with data processing by the data processor.

Abstract: A method for controlling a vehicle includes providing a plurality of sensors at an equipped vehicle, capturing, via the plurality of sensors, data, and determining, via processing by a data processor of data captured by at least some of the plurality of sensors, information pertaining to distance to other vehicles present exterior the equipped vehicle. Information is determined pertaining to lane geometry of a lane of a road along which the equipped vehicle is traveling. Information is provided pertaining to at least one of (i) acceleration of the equipped vehicle, (ii) braking of the equipped vehicle and (iii) steering of the equipped vehicle. Information is provided identifying a driver operating the equipped vehicle. Responsive to identification of the driver operating the equipped vehicle, the equipped vehicle is controlled in accordance with a personalized parameter set for the identified driver and in accordance with data processing by the data processor.

Abstract: A driver assistance system for a vehicle includes at least one sensor including an image sensor operable to capture image data. An image processor is operable to process captured image data to determine at least one of (i) a driving condition of the vehicle and (ii) a road condition of the road that the vehicle is traveling along. The driver assistance system, when activated and at least in part responsive to image processing of captured image data, is operable to control at least one accessory or system of the vehicle. The driver assistance system is operable to adjust at least one parameter of the control of the at least one accessory or system of the vehicle in response to (i) an identification of a particular driver and (ii) at least one preferred parameter indicative of the driver's preference for the at least one accessory or system of the vehicle.

Abstract: A control system for a vehicle includes a forward viewing camera having a field of view forward of the vehicle. A control includes an image processor operable to process image data captured by the camera to determine lane boundaries of a lane of travel of the vehicle and to determine road curvature of a curved section of a road being traveled by the vehicle. The control, responsive at least in part to processing of captured image data, determines an end of the curved section where the road straightens. The control, responsive to a determination that the vehicle is at the end of the curved section where the road straightens, determines a wheel angle to adjust a wheel of the vehicle to such that the vehicle travels parallel to a tangent of the road after the vehicle has traversed the curved section and is at a straight section of the road.

Abstract: A control system of a vehicle includes an image sensor and a control having an image processor. The image sensor is disposed at the vehicle and has a field of view exterior and forward of the vehicle. The image processor is operable to process image data captured by the image sensor to determine a curvature of a road being traveled by the vehicle. Responsive at least in part to processing by the image processor of captured image data, the control is operable to determine tangents at locations along the determined curvature. Responsive to determination of the tangents, the control is operable generate an output to adjust the vehicle steering to guide the vehicle in a direction that generally corresponds to determined tangents at respective locations of the vehicle's path of travel along the curvature of the road.